Dehong Zou

474 citations
31 papers · 348 indexed · h-index 11
Topics
Breast Cancer Treatment Studies (9 papers)Ferroptosis and cancer prognosis (4 papers)RNA modifications and cancer (4 papers)
Partner nations
China

In The Last Decade

Dehong Zou

31 papers receiving 344 citations

Peers

Dehong Zou
Comparison fields: 5 of 77
  • Cancer Research 166
  • Molecular Biology 143
  • Oncology 115
  • Genetics 49
  • Pathology and Forensic Medicine 39
Replace Ewoud N. Speksnijder with:
Ewoud N. Speksnijder Netherlands
Jayne Loughery United Kingdom
Agnieszka Budny Poland
Motonao Nakao Japan
M. Leitch United States
Shuchen Dong China
Isabelle Lascombe France
Yao-Li Chen Taiwan
Yasushi Shigeoka Japan
Luca Livraghi Italy
Dehong Zou relative to Ewoud N. Speksnijder Netherlands Ewoud N. Speksnijder's profile →
Citations per field
00.5×4.7×
Ewoud N. Speksnijder · 1×
Citations per year

Countries citing papers authored by Dehong Zou

Since Specialization
Citations

This map shows the geographic impact of Dehong Zou's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dehong Zou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dehong Zou more than expected).

Fields of papers citing papers by Dehong Zou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dehong Zou. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dehong Zou. The network helps show where Dehong Zou may publish in the future.

Co-authorship network of co-authors of Dehong Zou

This figure shows the co-authorship network connecting the top 25 collaborators of Dehong Zou. A scholar is included among the top collaborators of Dehong Zou based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dehong Zou. Dehong Zou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
The expression profile of Gasdermin C-related genes predicts the prognosis and immunotherapy response of pancreatic adenocarcinoma.
5
2 8
3 1
4 5
5 24
6 12
7 25
8 4
9 25
10 1
11 35
12 4
13 6
14 6
15 18
16 33
17 7
18
[Treatment of Chemotherapy Related Leukocytopenia by Oral Administration of Multiple Leucogenic Drugs Combined with G-CSF: an Experimental Study].
2
19 27
20 3

About Dehong Zou

Dehong Zou is a scholar working on Cancer Research, Oncology and Process Chemistry and Technology, having authored 31 papers that have together received 348 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (9 papers), Ferroptosis and cancer prognosis (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Cancer Research (166 citations), Oncology (115 citations) and Pathology and Forensic Medicine (39 citations). Dehong Zou has collaborated with scholars based in China. Frequent co-authors include Xiangming He, Yang Yu, Xiangyun Zong, Xiaowen Ding, Hongjian Yang, Yuqin Ding, Hongjian Yang, Xingfei Yu, Meirong Zhao and Xiping Zhang. Their work appears in journals such as Journal of Clinical Oncology, Environmental Science & Technology and PLoS ONE.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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